Three-dimensional source imaging from simultaneously recorded ERP and BOLD-fMRI

Xiaoxiao Bai, Zhongming Liu, Nanyin Zhang, Wei Chen, Bin He

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We present the 3-D EEG source images reconstructed by using the minimum norm least square (MNLS) method in combination with the functional magnetic resonance imaging (fMRI) statistical parametric mapping. For a group of five normal subjects, electroencephalogram (EEG) and fMRI signals responding to the full-view checkerboard pattern-reversal visual stimulation were recorded simultaneously and separately. The electrical activities in V1/V2 and V5 were successfully imaged in the N75-P100-N145 and P100-N145 components, respectively. The present results demonstrate the merits of high-resolution spatiotemporal functional neuroimaging by integrating the simultaneously recorded fMRI and EEG data.

Original languageEnglish (US)
Article number4785188
Pages (from-to)101-106
Number of pages6
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume17
Issue number2
DOIs
StatePublished - Apr 2009

Bibliographical note

Funding Information:
Manuscript received December 03, 2007; revised May 12, 2008; accepted October 28, 2008. First published February 18, 2009; current version published April 08, 2009. This work was supported in part by the National Institutes of Health (NIH) under Grant R01EB007920, Grant R01EB00178, Grant R01EB00329, and in part by the National Science Foundation under Grant BES-0411898. The 3-T MRI scanner was supported in part by NIH P41RR008079 and P30NS057091. The work of X. Bai was supported by a Research Scholarship from the Supercomputing Institute of the University of Minnesota.

Keywords

  • Electroencephalogram (EEG)
  • Event-related potential (ERP)
  • Functional magnetic resonance imaging (fMRI)
  • Minimum norm least square (MNLS)
  • Simultaneous EEG/fMRI
  • Three-dimensional source imaging
  • Visual evoked potential (VEP)

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